Senior Machine Learning Engineer in Medical Imaging
TORONTO: RESEARCH AND DEVELOPMENT - FULL TIME
Job Description
Oncoustics is revolutionizing the use of point of care ultrasound in liver care through advanced AI. We are supported by high-profile institutional investors and have deep partnerships in place with several major ultrasound and pharmaceutical players. We are looking to hire a senior ML Engineer/Scientist to join our team with relevant academic experience and deep industry experience. A successful candidate will be able to manage and lead a team and projects, as well as coordinating with signal processing, clinical data and product teams. The candidate should be able to build on previous work, and have a collaborative team spirit. Specifics of the opportunity include:
Responsibility
- Lead all development and deployment of deep learning and machine learning models in tensorflow and pytorch
- Design models/learning strategies to optimize mining of unique ultrasound signal data with deep learning
- Apply custom hyper parameter tuning methods
- Work directly with a team of data scientists and signal processing engineers
- Influence feature engineering and signal processing, and coordinate for optimal mining with AI
- Remain aware of new innovations in the use of AI/ML in medical imaging and ultrasound
- Adopt state of the art algorithms and models for that include multi-instance learning strategies, attention and GANs
- Plan for deployment of all models in Oncoustics future apps
- Participate in FDA planning and clearance of algorithms
Requirements
- Graduate degree in a related field, and relevant undergraduate
- 5+ years at least of industry experience in the development and deployment of AI/ML models for health care
- Expertise in Python for Deep Learning and Machine Learning packages: Pandas, Sklearn, Keras, Tensorflow, Pytorch
- Deep Learning architecture design: Experience with attention mechanisms, multi-instance learning and/or GANs
Good To Have
- PhD/graduate work in machine learning/machine vision
- Expertise in medical imaging analysis or signal processing with AI
- Experience in the use of ultrasound
- Prior experience with FDA clearance of AI/ML algorithms